Author:
Maleki Neda,Lundström Oxana,Musaddiq Arslan,Jeansson John,Olsson Tobias,Ahlgren Fredrik
Reference36 articles.
1. A comprehensive review of the load forecasting techniques using single and hybrid predictive models;A Al Mamun;IEEE access,2020
2. Support Vector Regression
3. Xgboost-based day-ahead load forecasting algorithm considering behind-the-meter solar pv generation;D J Bae;Energies,2021
4. Analysis of a random forests model;G Biau;The Journal of Machine Learning Research,2012
5. Sensor deployment configurations for building energy consumption prediction;N Bucarelli;Energy and Buildings,2024